Google Machine Learning Engineer interview questions
Updated 26 May 2026
based on 43 ratings
Difficulty
Average
Experience
Very positive
How others got an interview
42%
Applied online
Applied online
29%
Recruiter
Recruiter
17%
Employee referral
Employee referral
4%
Other
Other
4%
Campus recruiting
Campus recruiting
4%
Recruitment agency
Recruitment agency
Interview search
43 interviews
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Google interviews FAQs
Machine Learning Engineer applicants have rated the interview process at Google with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 64% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Google as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 100%
Here are the most commonly searched roles for interview reports -
Standard interview. I was contacted by the recruiter and was matched with a team pretty relevant to my job. One phone interview, one fit chat, 4 rounds of onsite interviews.
Interview questions [1]
Question 1
Implement a MHA class, together with some modeling questions related to SOTA models.
I applied through a staffing agency. I interviewed at Google in Aug 2025
Interview
I got reached out by a third party recruiter representing Google for this role. They set up a call and told me about the role and interview rounds. 3 rounds in total were scheduled in one go, all supposedly to be taken in consecutive days.
Interview questions [1]
Question 1
An implementation of LM-head of decoder based language model
pas eu d'entretien. jamais répondu. pourtant j'avais un super cv et une recommendation d'une personne travaillant la bas. donc très déçu de l'administration chez google. je pense que les cv passe par des IA qui prennent que des gens de Stanford